Face2Face: Real-time face capture and reenactment of RGB videos

Journal article


Publication Details

Author(s): Thies J, Zollhofer M, Stamminger M, Theobalt C, Niessner M
Journal: Communications of the Acm
Publication year: 2019
Volume: 62
Journal issue: 1
Pages range: 96-104
ISSN: 0001-0782


Abstract

Face2Face is an approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our goal is to animate the facial expressions of the target video by a source actor and re-render the manipulated output video in a photo-realistic fashion. To this end, we first address the under-constrained problem of facial identity recovery from monocular video by non-rigid model-based bundling. At run time, we track facial expressions of both source and target video using a dense photometric consistency measure. Reenactment is then achieved by fast and efficient deformation transfer between source and target. The mouth interior that best matches the re-targeted expression is retrieved from the target sequence and warped to produce an accurate fit. Finally, we convincingly re-render the synthesized target face on top of the corresponding video stream such that it seamlessly blends with the real-world illumination. We demonstrate our method in a live setup, where Youtube videos are reenacted in real time. This live setup has also been shown at SIGGRAPH Emerging Technologies 2016, by Thies et al.
20
where it won the Best in Show Award.


FAU Authors / FAU Editors

Stamminger, Marc Prof. Dr.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


External institutions with authors

Max Planck Institute for Informatics / Max-Planck-Institut für Informatik
Stanford University
Technische Universität München (TUM)


How to cite

APA:
Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., & Niessner, M. (2019). Face2Face: Real-time face capture and reenactment of RGB videos. Communications of the Acm, 62(1), 96-104. https://dx.doi.org/10.1145/3292039

MLA:
Thies, Justus, et al. "Face2Face: Real-time face capture and reenactment of RGB videos." Communications of the Acm 62.1 (2019): 96-104.

BibTeX: 

Last updated on 2019-15-05 at 10:08